This document provides tips for starting to think like a data scientist. It emphasizes the importance of being data literate and trusting data to draw conclusions. It advises refining data through visualizations and understanding variations before drawing conclusions from refined data. Managers are encouraged to make decisions based on data and know basic data analysis techniques.

1. HOW TO START
THINKING LIKE A
DATA SCIENTIST?
DA
TA
BY THOMAS C. REDMAN

2.
RAJEEV DWIVEDI
INTEGRATED M.SC. STATISTICS
CENTRAL UNIVERSITY OF
RAJASTHAN

3. DATA
SCIENCE
WILL
HELP
YOU
DO
WONDERS
ARE YOU DATA
SAVVY ?
CAN YOU DRAWN
CONCLUSIONS
FORM DATA ?
DO YOU THINK
YOU ARE AT AN
ADVANTAGE?

4. "YOU DON’T HAVE TO BE
A DATA SCIENTIST OR A
BAYESIAN STATISTICIAN
TO TEASE USEFUL
INSIGHTS FROM DATA"

5. LET ME TELL YOU
MY FRIEND
IF YOU CAN'T
MANAGE DATA
GET READY TO BE
MANAGED
BY THE NOVICE
DATA MANAGER

6. YOU
DONT NEED TO BE
DATA SAVVY
YOU
JUST NEED TO BE
DATA LITERATE
Productivity
17%
Loyalty
11%
Quality
57%
Profitability
15%

7. 0
5
10
15
20
January February March April May June July August September October Novemeber December
UNDERSTANDING
VARIATIONS TO VISUALISATIONS
WHAT ALL YOU NEED TO DO IS

8. TRUST
DATA
AND THEN
REFINE
REFINE
REFINE...

9. THE MOST IMPORTANT THING IS
THAT
YOU MUST START DRAWING CONCLUSIONS
ONCE YOU HAVE THE
REFINED DATA

10. 0
10
20
30
40
50
GET A FEEL FOR
VARIATIONS

11. BEFRIEND
DATA
AND
BE HAPPY

12. A MANAGER SHOULD
ENDEAVOR HIS DECISIONS
ONLY ON THE BASIS OF DATA
AND HENCE
DATA ANALYSIS SKILLS ARE
OUGHT TO BE KNOWN BY HIM.

13. A MANAGER HAS TO HAVE HIS
HIS EMPLOYEES
KNOW THE AT LEAST THE
BASIC DATA ANALYSIS
TECHNIQUES.

14. THANK
YOU